from sklearn_benchmarks.reporting.hp_match import HpMatchReporting
reporting = HpMatchReporting(against_lib="onnx", config="config.yml", log_scale=True)
reporting.make_report()
We assume here there is a perfect match between the hyperparameters of both librairies. For a given set of parameters and a given dataset, we compute the speedup
time scikit-learn / time onnx. For instance, a speedup of 2 means that onnx is twice as fast as scikit-learn for a given set of parameters and a given dataset.
KNeighborsClassifier_brute_force¶onnx (1.10.1) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=brute.
| estimator | function | n_samples_train | n_samples | n_features | parameters_digest | dataset_digest | mean_duration_sklearn | std_duration_sklearn | n_iter | ... | algorithm | n_jobs | n_neighbors | accuracy_score_sklearn | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | diff_accuracy_scores | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | e70d8e7886766d41f30889506baa1e67 | 2cf49829391aa7891e877f2ed070adf0 | 1.783428 | 0.103273 | NaN | ... | brute | -1 | 1 | 0.663 | 0.308416 | 0.003663 | 1.000 | 5.782541 | 5.782949 | 0.337 |
| 2 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | e70d8e7886766d41f30889506baa1e67 | 2cf49829391aa7891e877f2ed070adf0 | 0.021181 | 0.002006 | NaN | ... | brute | -1 | 1 | 1.000 | 16.883564 | 0.001345 | 0.757 | 0.001255 | 0.001255 | 0.243 |
| 4 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 22d5eac4a4146149b35eae6914921514 | 2cf49829391aa7891e877f2ed070adf0 | 2.598966 | 0.019955 | NaN | ... | brute | -1 | 5 | 0.757 | 16.761322 | 0.006945 | 0.882 | 0.155057 | 0.155057 | 0.125 |
| 7 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 16f94fc93942ff7ece860c9b0f64645f | 2cf49829391aa7891e877f2ed070adf0 | 1.949392 | 0.005666 | NaN | ... | brute | 1 | 100 | 0.882 | 0.313454 | 0.004789 | 1.000 | 6.219059 | 6.219785 | 0.118 |
| 8 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 16f94fc93942ff7ece860c9b0f64645f | 2cf49829391aa7891e877f2ed070adf0 | 0.018911 | 0.000229 | NaN | ... | brute | 1 | 100 | 1.000 | 17.001810 | 0.027907 | 0.757 | 0.001112 | 0.001112 | 0.243 |
| 10 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2d5f2b2c02d77766434d9e5033b4a76c | 2cf49829391aa7891e877f2ed070adf0 | 2.601173 | 0.030045 | NaN | ... | brute | -1 | 100 | 0.882 | 16.978550 | 0.001456 | 0.663 | 0.153203 | 0.153203 | 0.219 |
| 13 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | efac583623711d395ddae7a1e881ff68 | 2cf49829391aa7891e877f2ed070adf0 | 1.951491 | 0.003758 | NaN | ... | brute | 1 | 5 | 0.757 | 0.239558 | 0.004574 | 1.000 | 8.146231 | 8.147715 | 0.243 |
| 14 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | efac583623711d395ddae7a1e881ff68 | 2cf49829391aa7891e877f2ed070adf0 | 0.019229 | 0.000361 | NaN | ... | brute | 1 | 5 | 1.000 | 3.598588 | 0.025056 | 0.922 | 0.005343 | 0.005344 | 0.078 |
| 16 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | b79d63bb7670c492de5c3befac58fe29 | 2cf49829391aa7891e877f2ed070adf0 | 1.075387 | 0.001489 | NaN | ... | brute | 1 | 1 | 0.663 | 3.637775 | 0.012878 | 0.929 | 0.295617 | 0.295619 | 0.266 |
| 19 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | e70d8e7886766d41f30889506baa1e67 | 88843f54689e3271092f70126e1de585 | 1.590791 | 0.025237 | NaN | ... | brute | -1 | 1 | 0.896 | 0.239020 | 0.004227 | 1.000 | 6.655466 | 6.656506 | 0.104 |
| 20 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | e70d8e7886766d41f30889506baa1e67 | 88843f54689e3271092f70126e1de585 | 0.004262 | 0.001410 | NaN | ... | brute | -1 | 1 | 1.000 | 3.554953 | 0.029420 | 0.922 | 0.001199 | 0.001199 | 0.078 |
| 22 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 22d5eac4a4146149b35eae6914921514 | 88843f54689e3271092f70126e1de585 | 2.381358 | 0.080133 | NaN | ... | brute | -1 | 5 | 0.922 | 3.635965 | 0.009732 | 0.896 | 0.654945 | 0.654948 | 0.026 |
12 rows × 22 columns
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.011 | 0.0 | 7.374 | 0.0 | -1 | 1 | 16.947 | 0.132 | 0.663 | 0.001 | 0.001 | See | See |
| 3 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.011 | 0.0 | 7.396 | 0.0 | -1 | 5 | 0.312 | 0.006 | 1.000 | 0.035 | 0.035 | See | See |
| 6 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.011 | 0.0 | 7.447 | 0.0 | 1 | 100 | 17.231 | 0.091 | 0.882 | 0.001 | 0.001 | See | See |
| 9 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.011 | 0.0 | 7.413 | 0.0 | -1 | 100 | 0.299 | 0.010 | 1.000 | 0.036 | 0.036 | See | See |
| 12 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.011 | 0.0 | 7.268 | 0.0 | 1 | 5 | 3.639 | 0.006 | 0.896 | 0.003 | 0.003 | See | See |
| 15 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.011 | 0.0 | 7.441 | 0.0 | 1 | 1 | 0.240 | 0.004 | 1.000 | 0.045 | 0.045 | See | See |
| 18 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.004 | 0.0 | 0.380 | 0.0 | -1 | 1 | 3.639 | 0.008 | 0.929 | 0.001 | 0.001 | See | See |
| 21 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.004 | 0.0 | 0.370 | 0.0 | -1 | 5 | 0.240 | 0.004 | 1.000 | 0.018 | 0.018 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 1.783 | 0.103 | 0.000 | 0.002 | -1 | 1 | 0.308 | 0.004 | 1.000 | 5.783 | 5.783 | See | See |
| 2 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.021 | 0.002 | 0.000 | 0.021 | -1 | 1 | 16.884 | 0.001 | 0.757 | 0.001 | 0.001 | See | See |
| 4 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.599 | 0.020 | 0.000 | 0.003 | -1 | 5 | 16.761 | 0.007 | 0.882 | 0.155 | 0.155 | See | See |
| 5 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.024 | 0.004 | 0.000 | 0.024 | -1 | 5 | 0.309 | 0.005 | 1.000 | 0.076 | 0.076 | See | See |
| 7 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 1.949 | 0.006 | 0.000 | 0.002 | 1 | 100 | 0.313 | 0.005 | 1.000 | 6.219 | 6.220 | See | See |
| 8 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.019 | 0.000 | 0.000 | 0.019 | 1 | 100 | 17.002 | 0.028 | 0.757 | 0.001 | 0.001 | See | See |
| 10 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.601 | 0.030 | 0.000 | 0.003 | -1 | 100 | 16.979 | 0.001 | 0.663 | 0.153 | 0.153 | See | See |
| 11 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.022 | 0.002 | 0.000 | 0.022 | -1 | 100 | 0.313 | 0.004 | 1.000 | 0.071 | 0.071 | See | See |
| 13 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 1.951 | 0.004 | 0.000 | 0.002 | 1 | 5 | 0.240 | 0.005 | 1.000 | 8.146 | 8.148 | See | See |
| 14 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.019 | 0.000 | 0.000 | 0.019 | 1 | 5 | 3.599 | 0.025 | 0.922 | 0.005 | 0.005 | See | See |
| 16 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 1.075 | 0.001 | 0.001 | 0.001 | 1 | 1 | 3.638 | 0.013 | 0.929 | 0.296 | 0.296 | See | See |
| 17 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.018 | 0.000 | 0.000 | 0.018 | 1 | 1 | 0.240 | 0.005 | 1.000 | 0.074 | 0.074 | See | See |
| 19 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 1.591 | 0.025 | 0.000 | 0.002 | -1 | 1 | 0.239 | 0.004 | 1.000 | 6.655 | 6.657 | See | See |
| 20 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.004 | 0.001 | 0.000 | 0.004 | -1 | 1 | 3.555 | 0.029 | 0.922 | 0.001 | 0.001 | See | See |
| 22 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 2.381 | 0.080 | 0.000 | 0.002 | -1 | 5 | 3.636 | 0.010 | 0.896 | 0.655 | 0.655 | See | See |
| 23 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.007 | 0.005 | 0.000 | 0.007 | -1 | 5 | 0.239 | 0.004 | 1.000 | 0.028 | 0.028 | See | See |
KNeighborsClassifier_kd_tree¶onnx (1.10.1) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=kd_tree.
| estimator | function | n_samples_train | n_samples | n_features | parameters_digest | dataset_digest | mean_duration_sklearn | std_duration_sklearn | n_iter | ... | algorithm | n_jobs | n_neighbors | accuracy_score_sklearn | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | diff_accuracy_scores | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | fe8267e25dadb302ed498e50fabf7ef4 | 1eb6cf1a720a225efb91df0b529b0510 | 0.750415 | 1.013010 | NaN | ... | kd_tree | -1 | 1 | 0.929 | 2.618640 | 0.209573 | 1.000 | 0.286567 | 0.287483 | 0.071 |
| 2 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | fe8267e25dadb302ed498e50fabf7ef4 | 1eb6cf1a720a225efb91df0b529b0510 | 0.002514 | 0.000358 | NaN | ... | kd_tree | -1 | 1 | 1.000 | 117.608244 | 0.000000 | 0.946 | 0.000021 | 0.000021 | 0.054 |
| 4 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | dc74b969bf622bc24ba3bc62c980983b | 1eb6cf1a720a225efb91df0b529b0510 | 0.980333 | 0.344856 | NaN | ... | kd_tree | -1 | 5 | 0.946 | 118.961067 | 0.000000 | 0.951 | 0.008241 | 0.008241 | 0.005 |
| 7 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 41accfcdcd5c50784bedf6164b63de99 | 1eb6cf1a720a225efb91df0b529b0510 | 4.806605 | 0.401040 | NaN | ... | kd_tree | 1 | 100 | 0.951 | 2.625837 | 0.165090 | 1.000 | 1.830504 | 1.834118 | 0.049 |
| 8 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 41accfcdcd5c50784bedf6164b63de99 | 1eb6cf1a720a225efb91df0b529b0510 | 0.003213 | 0.000850 | NaN | ... | kd_tree | 1 | 100 | 1.000 | 123.634710 | 0.000000 | 0.946 | 0.000026 | 0.000026 | 0.054 |
| 10 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 022f7445d43bb1dbc24dc3106c03cb93 | 1eb6cf1a720a225efb91df0b529b0510 | 2.817059 | 0.201310 | NaN | ... | kd_tree | -1 | 100 | 0.951 | 119.091454 | 0.000000 | 0.929 | 0.023655 | 0.023655 | 0.022 |
| 13 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 84622ba45e941db642965553529e1941 | 1eb6cf1a720a225efb91df0b529b0510 | 1.502982 | 0.268727 | NaN | ... | kd_tree | 1 | 5 | 0.946 | 0.005021 | 0.000085 | 1.000 | 299.353830 | 299.397009 | 0.054 |
| 14 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 84622ba45e941db642965553529e1941 | 1eb6cf1a720a225efb91df0b529b0510 | 0.001462 | 0.000320 | NaN | ... | kd_tree | 1 | 5 | 1.000 | 0.037454 | 0.000618 | 0.911 | 0.039022 | 0.039027 | 0.089 |
| 16 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | a9455565db1d8e052a783317c99744ff | 1eb6cf1a720a225efb91df0b529b0510 | 0.831806 | 0.334570 | NaN | ... | kd_tree | 1 | 1 | 0.929 | 0.060016 | 0.002260 | 0.894 | 13.859842 | 13.869663 | 0.035 |
| 19 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | fe8267e25dadb302ed498e50fabf7ef4 | edf7cb014c2c0910e1c3aaaf8ae633f2 | 0.026699 | 0.015512 | NaN | ... | kd_tree | -1 | 1 | 0.891 | 0.005073 | 0.000089 | 1.000 | 5.263054 | 5.263864 | 0.109 |
| 20 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | fe8267e25dadb302ed498e50fabf7ef4 | edf7cb014c2c0910e1c3aaaf8ae633f2 | 0.001908 | 0.000125 | NaN | ... | kd_tree | -1 | 1 | 1.000 | 0.037855 | 0.000152 | 0.911 | 0.050415 | 0.050415 | 0.089 |
| 22 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | dc74b969bf622bc24ba3bc62c980983b | edf7cb014c2c0910e1c3aaaf8ae633f2 | 0.022506 | 0.000939 | NaN | ... | kd_tree | -1 | 5 | 0.911 | 0.037336 | 0.000293 | 0.891 | 0.602784 | 0.602803 | 0.020 |
12 rows × 22 columns
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 2.743 | 0.043 | 0.029 | 0.0 | -1 | 1 | 118.790 | 0.000 | 0.929 | 0.023 | 0.023 | See | See |
| 3 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.287 | 0.057 | 0.024 | 0.0 | -1 | 5 | 2.626 | 0.234 | 1.000 | 1.252 | 1.257 | See | See |
| 6 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.263 | 0.035 | 0.025 | 0.0 | 1 | 100 | 119.915 | 0.000 | 0.951 | 0.027 | 0.027 | See | See |
| 9 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.354 | 0.077 | 0.024 | 0.0 | -1 | 100 | 2.628 | 0.167 | 1.000 | 1.276 | 1.279 | See | See |
| 12 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.337 | 0.035 | 0.024 | 0.0 | 1 | 5 | 0.038 | 0.000 | 0.891 | 87.860 | 87.862 | See | See |
| 15 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.247 | 0.046 | 0.025 | 0.0 | 1 | 1 | 0.005 | 0.000 | 1.000 | 643.038 | 643.133 | See | See |
| 18 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.002 | 0.016 | 0.0 | -1 | 1 | 0.059 | 0.000 | 0.894 | 0.017 | 0.017 | See | See |
| 21 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.000 | 0.031 | 0.0 | -1 | 5 | 0.005 | 0.000 | 1.000 | 0.101 | 0.101 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.750 | 1.013 | 0.000 | 0.001 | -1 | 1 | 2.619 | 0.210 | 1.000 | 0.287 | 0.287 | See | See |
| 2 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.003 | 0.000 | 0.000 | 0.003 | -1 | 1 | 117.608 | 0.000 | 0.946 | 0.000 | 0.000 | See | See |
| 4 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.980 | 0.345 | 0.000 | 0.001 | -1 | 5 | 118.961 | 0.000 | 0.951 | 0.008 | 0.008 | See | See |
| 5 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | 0.000 | 0.003 | -1 | 5 | 2.608 | 0.147 | 1.000 | 0.001 | 0.001 | See | See |
| 7 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 4.807 | 0.401 | 0.000 | 0.005 | 1 | 100 | 2.626 | 0.165 | 1.000 | 1.831 | 1.834 | See | See |
| 8 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | 0.000 | 0.003 | 1 | 100 | 123.635 | 0.000 | 0.946 | 0.000 | 0.000 | See | See |
| 10 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 2.817 | 0.201 | 0.000 | 0.003 | -1 | 100 | 119.091 | 0.000 | 0.929 | 0.024 | 0.024 | See | See |
| 11 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.005 | 0.001 | 0.000 | 0.005 | -1 | 100 | 2.638 | 0.221 | 1.000 | 0.002 | 0.002 | See | See |
| 13 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 1.503 | 0.269 | 0.000 | 0.002 | 1 | 5 | 0.005 | 0.000 | 1.000 | 299.354 | 299.397 | See | See |
| 14 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.001 | 0.000 | 0.000 | 0.001 | 1 | 5 | 0.037 | 0.001 | 0.911 | 0.039 | 0.039 | See | See |
| 16 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.832 | 0.335 | 0.000 | 0.001 | 1 | 1 | 0.060 | 0.002 | 0.894 | 13.860 | 13.870 | See | See |
| 17 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.001 | 0.000 | 0.000 | 0.001 | 1 | 1 | 0.005 | 0.000 | 1.000 | 0.189 | 0.189 | See | See |
| 19 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.027 | 0.016 | 0.001 | 0.000 | -1 | 1 | 0.005 | 0.000 | 1.000 | 5.263 | 5.264 | See | See |
| 20 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.002 | 0.000 | 0.000 | 0.002 | -1 | 1 | 0.038 | 0.000 | 0.911 | 0.050 | 0.050 | See | See |
| 22 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.023 | 0.001 | 0.001 | 0.000 | -1 | 5 | 0.037 | 0.000 | 0.891 | 0.603 | 0.603 | See | See |
| 23 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.002 | 0.000 | 0.000 | 0.002 | -1 | 5 | 0.005 | 0.000 | 1.000 | 0.400 | 0.400 | See | See |
HistGradientBoostingClassifier_best¶onnx (1.10.1) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: learning_rate=0.01, n_iter_no_change=10.0, max_leaf_nodes=100.0, max_bins=255.0, min_samples_leaf=100.0, max_iter=300.0.
| estimator | function | n_samples_train | n_samples | n_features | parameters_digest | dataset_digest | mean_duration_sklearn | std_duration_sklearn | n_iter | ... | max_leaf_nodes | min_samples_leaf | n_iter_no_change | accuracy_score_sklearn | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | diff_accuracy_scores | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | HistGradientBoostingClassifier_best | predict | 100000 | 1000 | 100 | 25b9f14bed7dd5d830c6ccd4dfebbf0c | 8c8fffa8ec4b2d8de833421f9e32beab | 0.104758 | 0.000344 | 300 | ... | 100 | 100 | 10 | 0.824 | 0.3936 | 0.009678 | 1.0 | 0.266154 | 0.266234 | 0.176 |
1 rows × 25 columns
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | HistGradientBoostingClassifier_best | fit | 100000 | 100000 | 100 | 91.702 | 0.0 | 300 | 0.001 | 0.001 | 0.476 | 0.023 | 0.824 | 192.793 | 193.013 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | HistGradientBoostingClassifier_best | predict | 100000 | 1000 | 100 | 0.105 | 0.0 | 300 | 0.008 | 0.0 | 0.394 | 0.01 | 1.0 | 0.266 | 0.266 | See | See |